In big data world, Hadoop Distributed File System (HDFS) is very popular. It provides a framework for storing data in a distributed environment and also has set of tools to retrieve and process. These data set using map-reduce concept. In this paper, a thorough research has been carried to discuss that how big data analytics can be performed on data stored on Hadoop distributed file system using Pig and Hive. Apache Pig and Hive are two projects which are layered on top of Hadoop, and provide higher-level language to use Hadoop's MapReduce library.